Event Data Recorder Triage System for Accident Investigation
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Solution Overview
Problem
The process of obtaining and analyzing event data recorder (EDR) data from vehicles involved in accidents is costly and time-consuming, and the suitability of this data for accident investigation is often uncertain due to variability in EDR data collection across manufacturers and vehicles, making it difficult for insurance companies and other entities to allocate resources effectively.
Innovation Solution
A computer-implemented method and system that assesses the availability and applicability of EDR data based on vehicle and accident information, claim types, and user-specific criteria, determining whether EDR data is suitable for acquisition and analysis, and if so, assigns data collection tasks to remote sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If EDR data is obtained from all vehicles involved in accidents, then completeness of data collection is improved, but cost and time consumption increase significantly
Solution Approach 1:
The system performs preliminary assessment of EDR data availability and applicability before actual data collection. By evaluating vehicle characteristics, accident types, and claim categories in advance, the system identifies which vehicles warrant EDR data collection, avoiding unnecessary travel and data extraction efforts for vehicles where data would not be useful
Solution Approach 2:
The system automatically queries databases using vehicle identification numbers to determine EDR capabilities, data types available, and applicability to specific claim categories. This automated self-assessment eliminates manual evaluation and enables rapid triage of multiple vehicles without proportionally increasing investigator time
2Reliability
If EDR data is obtained from all vehicles involved in accidents, then completeness of data collection is improved, but cost increases significantly
Solution Approach 1:
The system performs preliminary assessment of EDR data availability and applicability before actual data collection. By evaluating vehicle characteristics, accident types, and claim categories in advance, the system identifies which vehicles warrant EDR data collection, avoiding unnecessary travel and data extraction efforts for vehicles where data would not be useful
Solution Approach 2:
The system automatically queries databases using vehicle identification numbers to determine EDR capabilities, data types available, and applicability to specific claim categories. This automated self-assessment eliminates manual evaluation and enables rapid triage of multiple vehicles without proportionally increasing investigator time
3Reliability
If EDR data collection is performed without preliminary assessment, then data availability is ensured, but resource allocation efficiency deteriorates
Solution Approach 1:
The system performs preliminary assessment of EDR data availability and applicability before actual data collection. By evaluating vehicle characteristics, accident types, and claim categories in advance, the system identifies which vehicles warrant EDR data collection, avoiding unnecessary travel and data extraction efforts for vehicles where data would not be useful
Solution Approach 2:
The system automatically queries databases using vehicle identification numbers to determine EDR capabilities, data types available, and applicability to specific claim categories. This automated self-assessment eliminates manual evaluation and enables rapid triage of multiple vehicles without proportionally increasing investigator time
4Reliability
If EDR data is collected from vehicles with varying data collection capabilities, then comprehensiveness of data coverage is improved, but data analysis complexity increases
Solution Approach 1:
The system tailors the assessment and collection process to each vehicle's specific EDR capabilities. By querying manufacturer and model-specific data to determine what parameters each vehicle can provide, the system collects only the relevant data types for each vehicle, avoiding unnecessary data collection and simplifying subsequent analysis by ensuring data relevance from the outset
Data Source
AI summary
In one embodiment, the present invention includes a computer-implemented method for receiving information regarding a vehicle involved in an accident, determining availability of event data recorder (EDR) data from the vehicle based on the information, and if the EDR data is available, assigning a level of suitability for data collection from the EDR based at least in part on a type of the EDR and information regarding the accident.